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About
Building AI Systems That Ship to Production
I build things from zero: AI systems, commercial infrastructure, and operational foundations. Most of my career has been joining early and building what doesn't exist yet.
Regulated industries are where I've proven depth—pharma, FDA environments, GxP contexts—but the throughline is 0-to-1 execution across product, ops, and delivery. I go deep on the technical problems that matter and connect them to business outcomes.
Generalist Who Goes Deep
Builds across product, operations, and AI delivery when 0-to-1 teams need outcomes fast
Commercial + Technical Integration
Built commercial infrastructure and AI systems that shipped to production and drove measurable outcomes
Production AI for Regulated Workflows
Built a 6-agent FDA document review system deployed to production in Feb 2025
Employee #5 → 1,000+ Users
Built Ledidi's commercial and customer infrastructure, scaling from pre-revenue to 1,000+ users
How I Help
Your Problem, Solved
Too many tools, no clear path
Everyone's selling AI. Nobody's helping you choose. I cut through the noise, find what actually fits your business, and build it. No vendor lock-in, no wasted spend.
Buried in manual work
Documents piling up. Approvals stuck in inboxes. Data copied between systems by hand. I find the repetitive pain and automate it—workflows that run without you babysitting them.
High stakes, no room for error
Regulated industry? Compliance requirements? I've shipped systems in pharma, FDA environments, and GxP contexts. I build for the audit, not just the demo.
No one to own it
Most consultants hand over a deck and disappear. I build, ship, and stick around. Maintenance, iteration, fixes—I'm here after the handoff, not just before.
Need a builder who goes deep?
Open to the right engagement — let's talk.
Engagement
How I Work
1
Discovery
1-2 weeksDefine the problem, see how I work, get a proposal. Low commitment way to test the fit before a larger engagement.
- Problem definition and scope
- Technical feasibility assessment
- Proposal for Build phase
2
Build
4-8 weeks typicalProject-priced, concrete deliverable to production. I own the outcome, not just the hours.
- Working system in production
- Documentation and handoff
- Knowledge transfer to your team
3
Maintain
OngoingMonitoring, iterations, and ongoing support. Systems need care after launch—I stick around.
- Ongoing monitoring and fixes
- Feature iterations
- Priority support
Work
Featured Work
Multi-Agent FDA Document Review
Clinical-stage biotech company
6-agent AI system for FDA document review—60-70% time savings, multi-million USD ROI
✓ 60-70% reduction in manual review time ✓ ~18 seconds per page processing
Google Cloud PlatformVertex AI (Gemini 1.5)LangChainTerraform
Read case study → Enterprise Data Governance Transformation
Specialty pharmaceutical company
€400K engagement, 25+ stakeholders, 7 data domains mapped across 13 countries
✓ 7 data domains defined with clear ownership ✓ 25+ stakeholders coordinated across 6 departments
IFS ERPVeeva VaultPower BIData governance frameworks
Read case study →